config.yml

language: en
pipeline:
# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
# # If you'd like to customize it, uncomment and adjust the pipeline.
# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
  # - name: SpacyNLP 
  # - name: SpacyTokenizer
  # - name: SpacyFeaturizer
  - name: WhitespaceTokenizer
  - name: RegexFeaturizer
  - name: RegexEntityExtractor
  - name: CRFEntityExtractor
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 4
  - name: DIETClassifier
    epochs: 100
    constrain_similarities: true
  - name: EntitySynonymMapper
  - name: ResponseSelector
    epochs: 100
    retrieval_intent: chitchat
    constrain_similarities: true
#   - name: FallbackClassifier
#     threshold: 0.7
#     ambiguity_threshold: 0.1

# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/
policies:
- name: MemoizationPolicy
- name: TEDPolicy
  max_history: 8
  epochs: 100
  constrain_similarities: true
- name: RulePolicy
  core_fallback_threshold: 0.4
  core_fallback_action_name: action_default_fallback
  enable_fallback_prediction: true